Check computer science papers: citations, claims and retractions

DIMENSIONALITY OF THE SEMANTIC SPACE FOR COMMUNICATION VIA FACIAL EXPRESSIONS

Osgood, C. E. (1966) · Scandinavian Journal of Psychology

Emotion and Mood RecognitionFace Recognition and Perception

Cited by 345

Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge

Qayyum, A., Ahmad, K., Ahsan, M. A., Al-Fuqaha, A., & Qadir, J. (2022) · IEEE Open Journal of the Computer Society

Privacy-Preserving Technologies in DataCOVID-19 diagnosis using AI

Cited by 345

CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities

Lee, M., Liang, P., & Yang, Q. (2022) · CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionSpeech and dialogue systems

Cited by 345

Blended Latent Diffusion

Avrahami, O., Fried, O., & Lischinski, D. (2023) · ACM Transactions on Graphics

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 345

Masked Autoencoders As Spatiotemporal Learners

Feichtenhofer, C., Fan, H., Li, Y., & He, K. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 345

Deep Learning-Based Histopathologic Assessment of Kidney Tissue

Hermsen, M., de Bel, T., den Boer, M., Steenbergen, E. J., Kers, J., Florquin, S., Roelofs, J. J. T. H., Stegall, M. D., Alexander, M. P., Smith, B. H., et al. (2019) · Journal of the American Society of Nephrology

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 344

Distributed Multirobot Exploration and Mapping

Fox, D., Ko, J., Konolige, K., Limketkai, B., Schulz, D., & Stewart, B. (2006) · Proceedings of the IEEE

Robotics and Sensor-Based LocalizationRobotic Path Planning Algorithms

Cited by 344

Blockchain for smart communities: applications, challenges and opportunities

Aggarwal, S., Chaudhary, R., Aujla, G. S., Kumar, N., Choo, K.-K. R., & Zomaya, A. Y. (2019) · Journal of Network and Computer Applications

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 344

Consumer IoT: Security Vulnerability Case Studies and Solutions

Alladi, T., Chamola, V., Sikdar, B., & Choo, K.-K. R. (2020) · IEEE Consumer Electronics Magazine

IoT and Edge/Fog ComputingNetwork Security and Intrusion Detection

Cited by 344

Hyperbolic Graph Convolutional Neural Networks

Chami, I., Ying, R., Ré, C., & Leskovec, J. (2019) · arXiv

Advanced Graph Neural NetworksNeural Networks and Applications

Cited by 344

A Secured Authentication Protocol for Wireless Sensor Networks Using Elliptic Curves Cryptography

Yeh, H.-L., Chen, T.-H., Liu, P.-C., Kim, T.-H., & Wei, H.-W. (2011) · Sensors

Advanced Authentication Protocols SecuritySecurity in Wireless Sensor Networks

Cited by 344

A new quantum ripple-carry addition circuit

Cuccaro, S. A., Draper, T. G., Kutin, S. A., & Moulton, D. P. (2004) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 344

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Wang, L., Xu, W., Lan, Y., Hu, Z., Lan, Y., Lee, R. K.-W., & Lim, E.-P. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 344

Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Zhang, J., Hu, S., Lu, C., Lange, R., & Clune, J. (2025) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 344

Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data

Glasser, J., & Lindauer, B. (2013) · 2013 IEEE Security and Privacy Workshops

Information and Cyber SecurityPrivacy-Preserving Technologies in Data

Cited by 344

Augmented intelligence in programming learning: Examining student views on the use of ChatGPT for programming learning

Yilmaz, R., & Karaoglan Yilmaz, F. G. (2023) · Computers in Human Behavior: Artificial Humans

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 344

Quantum algorithms for algebraic problems

Childs, A. M., & van Dam, W. (2010) · Reviews of Modern Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 344

A dataset of microscopic peripheral blood cell images for development of automatic recognition systems

Acevedo, A., Merino, A., Alférez, S., Molina, Á., Boldú, L., & Rodellar, J. (2020) · Data in Brief

Digital Imaging for Blood DiseasesCell Image Analysis Techniques

Cited by 344

GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation

Zhou, W., Liu, J., Lei, J., Yu, L., & Hwang, J.-N. (2021) · IEEE Transactions on Image Processing

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 344

A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics

Zhou, H.-Y., Yu, Y., Wang, C., Zhang, S., Gao, Y., Pan, J., Shao, J., Lu, G., Zhang, K., & Li, W. (2023) · Nature Biomedical Engineering

Machine Learning in HealthcareMultimodal Machine Learning Applications

Cited by 343

A dynamically configurable coprocessor for convolutional neural networks

Chakradhar, S., Sankaradas, M., Jakkula, V., & Cadambi, S. (2010) · Proceedings of the 37th annual international symposium on Computer architecture

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 343

Crowd Analysis Using Computer Vision Techniques

Silveira Jacques Junior, J., Musse, S., & Jung, C. (2010) · IEEE Signal Processing Magazine

Video Surveillance and Tracking MethodsEvacuation and Crowd Dynamics

Cited by 343

Datasets: A Community Library for Natural Language Processing

Lhoest, Q., Villanova del Moral, A., Jernite, Y., Thakur, A., von Platen, P., Patil, S., Chaumond, J., Drame, M., Plu, J., Tunstall, L., et al. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Natural Language Processing TechniquesTopic Modeling

Cited by 343

Absence of Barren Plateaus in Quantum Convolutional Neural Networks

Pesah, A., Cerezo, M., Wang, S., Volkoff, T., Sornborger, A. T., & Coles, P. J. (2021) · Physical Review X

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 343